Results 51 to 60 of about 1,911,499 (379)

A Neural Attention Model for Categorizing Patient Safety Events

, 2017
Medical errors are leading causes of death in the US and as such, prevention of these errors is paramount to promoting health care. Patient Safety Event reports are narratives describing potential adverse events to the patients and are important in ...
JL Elman, JR Clarke, L Soldaini, MA Makary, R Pascanu, S Hochreiter, Y Lecun   +6 more
core   +1 more source

STAT3 expression is reduced in cardiac pericytes in HFpEF and its loss reduces cellular adhesion and induces pericyte senescence

FEBS Letters, EarlyView.
Heart failure with preserved ejection fraction (HFpEF) accounts for half of the heart failure cases. It is characterised by microvascular dysfunction, associated with reduced pericyte coverage and diminished STAT3 expression in pericytes. Loss of STAT3 impairs pericyte adhesion, promotes senescence, and activates a pro‐fibrotic gene program.
Leah Rebecca Vanicek, Ariane Fischer, Mariano Ruz Jurado, Anita Tamiato, Tara Procida‐Kowalski, Jochen Wilhelm, Dennis Hecker, Maximilian Merten, Felicitas Escher, Badder Kattih, Valentina Puntmann, David John, Marcel H. Schulz, Eike Nagel, Stefanie Dimmeler, Guillermo Luxán   +15 more
wiley   +1 more source

Medical errors: An observational study

Journal of Pediatric Critical Care, 2018
Introduction: Medical errors or negligence is leading cause of morbidity and mortality in many countries. Preventive and corrective measures can help in reduction of such events thus causing less damage and economic loss.
Kundan Mittal
doaj   +1 more source

A cognitive taxonomy of medical errors [PDF]

, 2004
Objective. Propose a cognitive taxonomy of medical errors at the level of individuals and their interactions with technology.Design. Use cognitive theories of human error and human action to develop the theoretical foundations of the taxonomy, develop ...
Johnson, Todd R, Patel, Vimla L, Shortliffe, Edward H, Zhang, Jiajie   +3 more
core   +1 more source

Protonophore activity of short‐chain fatty acids induces their intracellular accumulation and acidification

FEBS Letters, EarlyView.
The protonated form of butyrate, as well as other short‐chain fatty acids (SCFAs), is membrane permeable. In acidic extracellular environments, this can lead to intracellular accumulation of SCFAs and cytosolic acidification. This phenomenon will be particularly relevant in acidic environments such as the large intestine or tumor microenvironments ...
Muwei Jiang, Frans Bianchi, Geert van den Bogaart   +2 more
wiley   +1 more source

Inpatients’ medical prescription errors [PDF]

Einstein (São Paulo), 2009
Objective: To identify and quantify the most frequent prescription errors in inpatients’ medical prescriptions. Methods: A survey of prescription errors was performed in the inpatients’ medical prescriptions, from July 2008 to May 2009 for eight hours a ...
Aline Melo Santos Silva
doaj  

Fucosidosis: clinical and molecular findings of Turkish patients

The Turkish Journal of Pediatrics, 2022
Background. Fucosidosis is a rare, autosomal recessive lysosomal storage disease caused by alpha L- fucosidase enzyme deficiency in all tissues. Here, we identify a patient with a novel homozygous pathogenic variant and atypical clinical findings ...
Merve Emecen Şanlı, Serap Uysal
doaj   +1 more source

The thioredoxin‐like and one glutaredoxin domain are required to rescue the iron‐starvation phenotype of HeLa GLRX3 knock out cells

FEBS Letters, EarlyView.
Glutaredoxin (Grx) 3 proteins contain a thioredoxin domain and one to three class II Grx domains. These proteins play a crucial role in iron homeostasis in eukaryotic cells. In human Grx3, at least one of the two Grx domains, together with the thioredoxin domain, is essential for its function in iron metabolism.
Laura Magdalena Jordt, Manuela Gellert, Finja Zelms, Sander Bekeschus, Christopher Horst Lillig   +4 more
wiley   +1 more source

Modeling Annotator Preference and Stochastic Annotation Error for Medical Image Segmentation [PDF]

arXiv, 2021
Manual annotation of medical images is highly subjective, leading to inevitable and huge annotation biases. Deep learning models may surpass human performance on a variety of tasks, but they may also mimic or amplify these biases. Although we can have multiple annotators and fuse their annotations to reduce stochastic errors, we cannot use this ...
arxiv  

Medical diagnosis as pattern recognition in a framework of information compression by multiple alignment, unification and search [PDF]

Decision Support Systems 42, 608-625, 2006, 2014
This paper describes a novel approach to medical diagnosis based on the SP theory of computing and cognition. The main attractions of this approach are: a format for representing diseases that is simple and intuitive; an ability to cope with errors and uncertainties in diagnostic information; the simplicity of storing statistical information as ...
arxiv   +1 more source